Multi-Scale insights into competitive adsorption of CO2-CH4-N2 ternary mixtures on MIL-101(Cr): From molecular behaviour to process simulationShow others and affiliations
2025 (English)In: Separation and Purification Technology, ISSN 1383-5866, E-ISSN 1873-3794, Vol. 365, article id 132691Article in journal (Refereed) Published
Abstract [en]
Understanding competitive adsorption behaviors and pore-filling mechanisms of multicomponent gas mixtures in metal–organic frameworks (MOFs) is essential for advancing gas separation technologies. This study explores the adsorption dynamics of CO2, CH4, and N2 in MIL-101(Cr), demonstrating how its unique topological structure determines adsorption capacity and governs competitive interactions. Pure CO2 and N2 exhibit edge-to-center pore-filling sequences, while CH4 fills from the center outward. In mixed gas systems, CH4 dominates by reshaping the spatial distribution and filling sequence of CO2 and N2, while its own adsorption remains stable. Excess CO2 or CH4 inhibits competing gases from accessing adsorption sites, whereas excess N2 enhances CH4 adsorption, revealing a nuanced interplay of competitive effects. Furthermore, these interactions influence gas mobility, with excess molecules reducing the self-diffusion coefficients of other gases while increasing their own. This work also introduces a novel computational framework that integrates molecular-scale simulations with process-scale modelling to predict breakthrough curves of gas mixtures with high accuracy. The proposed two-stage adsorption process highlights MIL-101(Cr)’s exceptional potential for purifying CH4 from coal bed methane and biogas under ambient conditions. These findings underscore the utility of MIL-101(Cr) and computational innovations for sustainable energy applications and greenhouse gas mitigation.
Place, publisher, year, edition, pages
Elsevier, 2025. Vol. 365, article id 132691
Keywords [en]
MIL-101(Cr), Biogas, Coal bed methane, Competitive Adsorption, IAST, Molecular simulation
National Category
Energy Engineering
Research subject
Machine Elements
Identifiers
URN: urn:nbn:se:ltu:diva-112264DOI: 10.1016/j.seppur.2025.132691Scopus ID: 2-s2.0-105001010156OAI: oai:DiVA.org:ltu-112264DiVA, id: diva2:1950504
Funder
EU, Horizon 2020, 871998
Note
Validerad;2025;Nivå 2;2025-04-08 (u4);
Funder: 2023-24 SJTU-UoE China-UK Low Carbon College Joint Seed Fund;
Fulltext license: CC BY
2025-04-082025-04-082025-04-08Bibliographically approved